2013
DOI: 10.1073/pnas.1216075110
|View full text |Cite
|
Sign up to set email alerts
|

Ready-to-use food-allocation policy to reduce the effects of childhood undernutrition in developing countries

Abstract: Several aid groups have proposed strategies for allocating ready-touse (therapeutic and supplementary) foods to children in developing countries. Analysis is needed to investigate whether there are better alternatives. We use a longitudinal dataset of 5,657 children from Bwamanda to construct a bivariate time-series model that tracks each child's height-for-age z score (HAZ) and weight-forheight z score (WHZ) throughout the first 5 y of life. Our optimization model chooses which individual children should rece… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
31
0

Year Published

2014
2014
2020
2020

Publication Types

Select...
6
2
1

Relationship

2
7

Authors

Journals

citations
Cited by 21 publications
(32 citation statements)
references
References 22 publications
1
31
0
Order By: Relevance
“…Estimating the effect of treatment for the severely malnourished children is more difficult but we could approximate the effect of treatment on them to be the same as moderately malnourished children. Table 12 provides the relative performance of the EV and TR heuristics (relative to FCFS) for a representative set of parameters that are close to the estimates derived from Yang et al (2013). From the table, we see that almost all the insights presented in section 5.3 regarding the relative performance of the heuristics continue to hold qualitatively for the specific combination of parameters considered.…”
Section: Relation To a Continuous Health State Modelmentioning
confidence: 63%
See 1 more Smart Citation
“…Estimating the effect of treatment for the severely malnourished children is more difficult but we could approximate the effect of treatment on them to be the same as moderately malnourished children. Table 12 provides the relative performance of the EV and TR heuristics (relative to FCFS) for a representative set of parameters that are close to the estimates derived from Yang et al (2013). From the table, we see that almost all the insights presented in section 5.3 regarding the relative performance of the heuristics continue to hold qualitatively for the specific combination of parameters considered.…”
Section: Relation To a Continuous Health State Modelmentioning
confidence: 63%
“…Hence, both papers focus on evaluating the performance of heuristics to allocate the limited resources available. Yang et al (2013) develop an optimization model to choose which children (from among a group) should receive ready-to-use therapeutic or supplementary food. Our model differs from Yang et al (2013) in three important ways-first, they use a continuous health state model based on height-for-age and weight-for-height scores while we use a discrete health state model.…”
Section: Operations Management In Humanitarian Health Settingsmentioning
confidence: 99%
“…Because WHZ and MUAC-Z both measure how thin a child is, we extrapolate the results from WHZ to MUAC-Z. Moreover, as in [20], for lack of data we assume that the mean treatment effect is linear in the amount of calories consumed. Hence, we assume that each kcal/day given for one month causes an increase in the mean MUAC-Z by 0.19/3(500) = 1.3×10 −4 .…”
Section: Methodsmentioning
confidence: 99%
“…They analyze how a not-for-profit organization with limited financial resources should allocate the available funding between advisory efforts (to direct clients to services that are most appropriate for their needs) and service delivery efforts. Yang et al (2013) develop an optimization model to decide which children, from among a group, should receive ready-to-use therapeutic food (RUTF) or supplementary food. In their model, the decision maker has limited funding availability that can be used to procure RUTF and/or supplementary food.…”
Section: Literature Reviewmentioning
confidence: 99%